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Bioinformatics with Python Cookbook

You're reading from   Bioinformatics with Python Cookbook Use modern Python libraries and applications to solve real-world computational biology problems

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Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781803236421
Length 360 pages
Edition 3rd Edition
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Author (1):
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Tiago Antao Tiago Antao
Author Profile Icon Tiago Antao
Tiago Antao
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Toc

Table of Contents (15) Chapters Close

Preface 1. Chapter 1: Python and the Surrounding Software Ecology 2. Chapter 2: Getting to Know NumPy, pandas, Arrow, and Matplotlib FREE CHAPTER 3. Chapter 3: Next-Generation Sequencing 4. Chapter 4: Advanced NGS Data Processing 5. Chapter 5: Working with Genomes 6. Chapter 6: Population Genetics 7. Chapter 7: Phylogenetics 8. Chapter 8: Using the Protein Data Bank 9. Chapter 9: Bioinformatics Pipelines 10. Chapter 10: Machine Learning for Bioinformatics 11. Chapter 11: Parallel Processing with Dask and Zarr 12. Chapter 12: Functional Programming for Bioinformatics 13. Index 14. Other Books You May Enjoy

Aligning genetic and genomic data

Before we can perform any phylogenetic analysis, we need to align our genetic and genomic data. Here, we will use MAFFT (http://mafft.cbrc.jp/alignment/software/) to perform the genome analysis. The gene analysis will be performed using MUSCLE (http://www.drive5.com/muscle/).

Getting ready

To perform the genomic alignment, you will need to install MAFFT. Additionally, to perform the genic alignment, MUSCLE will be used. Also, we will use trimAl (http://trimal.cgenomics.org/) to remove spurious sequences and poorly aligned regions in an automated manner. All packages are available from Bioconda:

conda install –c bioconda mafft trimal muscle=3.8

As usual, this information is available in the corresponding Jupyter Notebook file at Chapter07/Alignment.py. You will need to run the previous notebook beforehand, as it will generate the files that are required here. In this chapter, we will use Biopython.

How to do it...

Take a look...

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